Event List
Handles creating, reading and updating events.
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L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service. L'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO) : voir la page dédiée. Le DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. Cette formation se déroulera pendant 8 semaines réparties entre : Les cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h) du 2 mars au 2 avril 2020 avec 1 semaine de césure la semaine 12). 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New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. 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